.. Installation

Installation
============

As of version 2.0.0, PySAL supports python `3.5`_ and `3.6`_ only. Please make sure that you are
operating in a python 3 environment.

Installing with conda
---------------------

To install PySAL and all its dependencies, we recommend using the `conda`_ package
manager. This can be obtained by installing the `Anaconda Distribution`_ (a free
Python distribution for data science), or through miniconda (minimal
distribution only containing Python and the conda package manager). 

Using conda, PySAL can be installed as follows::

  conda install pysal


Installing with pip
-------------------

PySAL is available on the `Python Package Index`_. Therefore, you can either
install directly with `pip` from the command line::

  pip install -U pysal


or download the source distribution (.tar.gz) and decompress it to your selected
destination. Open a command shell and navigate to the decompressed folder.
Type::

  pip install .

.. warning::
   When installing with pip, you have to ensure that the required dependencies
   for PySAL are installed on your operating system. Details on how to install these packages can be found in :ref:`dependencies`. Using conda (above) would avoid having to install the dependencies separately. 

   

Installing the development version
----------------------------------

Potentially, you might want to use the newest features in the development
version of PySAL on github - `pysal/pysal`_ while have not been incorporated
in the Pypi released version. You can achieve that by installing `pysal/pysal`_
by running the following from a command shell::

  pip install git+https://github.com/pysal/pysal.git

You can  also `fork`_ the `pysal/pysal`_ repo and create a local clone of
your fork. By making changes
to your local clone and submitting a pull request to `pysal/PySAL`_, you can
contribute to the PySAL development.


.. _dependencies:

Dependencies
------------

Required
++++++++
- `geopandas`_
- `seaborn`_
- `descartes`_
- `palettable`_
- `scikit-learn`_
- `rtree`_
- `tqdm`_
- `statsmodels`_
- `deprecated`_


Optional
++++++++
- `urbanaccess`_
- `pandana`_
- `numba`_
- `numexpr`_
- `bokeh`_




Installing versions supporting Python 2
---------------------------------------

Users requiring Python 2 support can install the legacy version of PySAL: 1.1.14 via pip::

 pip install pysal==1.14.4.post2

Note that this version is only receiving bug fixes. All new enhancements (post 2019-01) to PySAL are Python 3+ only, and are not available in 1.14.4.

.. _3.5: https://docs.python.org/3.5/
.. _3.6: https://docs.python.org/3.6/
.. _Python Package Index: https://pypi.org/project/PySAL/
.. _pysal/PySAL: https://github.com/pysal/PySAL
.. _conda: https://docs.conda.io/en/latest/
.. _Anaconda Distribution: https://docs.continuum.io/anaconda/
.. _fork: https://help.github.com/articles/fork-a-repo/
.. _geopandas: http://geopandas.org/install.html
.. _seaborn: https://seaborn.pydata.org/installing.html
.. _descartes: https://pypi.org/project/descartes/
.. _palettable: https://jiffyclub.github.io/palettable/
.. _scikit-learn: https://scikit-learn.org/stable/install.html
.. _rtree: http://toblerity.org/rtree/install.html
.. _tqdm: https://pypi.org/project/tqdm/
.. _statsmodels: https://www.statsmodels.org/stable/install.html
.. _deprecated: https://pypi.org/project/Deprecated/
.. _urbanaccess: https://github.com/UDST/urbanaccess
.. _pandana: https://pypi.org/project/pandana/ 
.. _numba: https://numba.pydata.org/numba-doc/dev/user/installing.html
.. _numexpr: https://pypi.org/project/numexpr/
.. _bokeh: https://bokeh.pydata.org/en/latest/docs/installation.html



